Delete .ipynb_checkpoints

.ipynb_checkpoints/README-checkpoint.md

@@ -1,77 +0,0 @@
----
-language:
-- en
-pipeline_tag: text-generation
-tags:
-- shining-valiant
-- valiant
-- valiant-labs
-- llama
-- llama-2
-- llama-2-chat
-- 70b
-model_type: llama
-license: llama2
----
-
-
-![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/64f267a8a4f79a118e0fcc89/5rUJPhu_6LyDvSQogSVhk.jpeg)
-
-
-Shining Valiant is a chat model built on the Llama 2 architecture, finetuned on our data for insight, creativity, passion, and friendliness.
-  - Uses the llama-2-70b-chat model, with safetensors
-  - Finetuned on multiple runs across private and public data
-  - Data focused on knowledge, enthusiasm, and structured reasoning
-
-## Version
-
-The current version is **1.3!**
-
-We're thrilled to bring you our newest release!
-
-Previous versions remain available in the repository. New models will be released for everyone once our team's training and validation process is complete.
-
-## Evaluation
-
-| Model                 | Avg    | ARC   | HS    | MMLU   | TQA   |
-|-----------------------|--------|-------|-------|--------|-------|
-| **Shining Valiant 1.2**   | 74.17  | 72.95 | 87.88 | 70.97  | 64.88 |
-| Llama 2               | 67.35  | 67.32 | 87.33 | 69.83  | 44.92 |
-| Llama 2 Chat          | 66.80  | 64.59 | 85.88 | 63.91  | 52.80 |
-
-**Shining Valiant 1.3** is awaiting full results from the Open LLM Leaderboard.
-
-SV 1.3 outperformed SV 1.2 on our internal testing.
-
-## Prompting Guide
-Shining Valiant uses the same prompt format as Llama 2 Chat - feel free to use your existing prompts and scripts!
-A few examples of different formats:
-
-1. [INST] Good morning! Can you let me know how to parse a text file and turn the semicolons into commas? [/INST]
-
-2. [INST] (You are an intelligent, helpful AI assistant.) Hello, can you write me a thank you letter? [/INST]
-
-3. [INST] << SYS >>You are an intelligent, helpful AI assistant.<< /SYS >>Deep dive about a country with interesting history: [/INST]
-
-## The Model
-Shining Valiant is built on top of Sunset Boulevard, which uses Llama 2's 70b parameter architecture and features upgraded general capability.
-
-From there, we've created Shining Valiant through multiple finetuning runs on different compositions of our private dataset. 
-
-Our private data focuses primarily on applying Shining Valiant's personality: she's friendly, enthusiastic, insightful, knowledgeable, and loves to learn!
-
-We are actively working on expanding and improving the Shining Valiant dataset for use in future releases of this model and others.
-
-
-
-![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63444f2687964b331809eb55/VCJ8Fmefd8cdVhXSSxJiD.jpeg)
-
-
-Shining Valiant is created by [Valiant Labs.](http://valiantlabs.ca/)
-
-[Follow us on X for updates on our models!](https://twitter.com/valiant_labs)
-
-We care about open source.
-For everyone to use.
-
-We encourage others to finetune further from our models.

.ipynb_checkpoints/config-checkpoint.json

@@ -1,28 +0,0 @@
-{
-  "_name_or_path": "./SunsetBoulevard/",
-  "architectures": [
-    "LlamaForCausalLM"
-  ],
-  "attention_bias": false,
-  "bos_token_id": 1,
-  "eos_token_id": 2,
-  "hidden_act": "silu",
-  "hidden_size": 8192,
-  "initializer_range": 0.02,
-  "intermediate_size": 28672,
-  "max_position_embeddings": 4096,
-  "model_type": "llama",
-  "num_attention_heads": 64,
-  "num_hidden_layers": 80,
-  "num_key_value_heads": 8,
-  "pad_token_id": 0,
-  "pretraining_tp": 1,
-  "rms_norm_eps": 1e-05,
-  "rope_scaling": null,
-  "rope_theta": 10000.0,
-  "tie_word_embeddings": false,
-  "torch_dtype": "float32",
-  "transformers_version": "4.35.0",
-  "use_cache": false,
-  "vocab_size": 32000
-}

.ipynb_checkpoints/config-checkpoint.py

@@ -1,28 +0,0 @@
-{
-  "_name_or_path": "ValiantLabs/ShiningValiant",
-  "architectures": [
-    "LlamaForCausalLM"
-  ],
-  "attention_bias": false,
-  "bos_token_id": 1,
-  "eos_token_id": 2,
-  "hidden_act": "silu",
-  "hidden_size": 8192,
-  "initializer_range": 0.02,
-  "intermediate_size": 28672,
-  "max_position_embeddings": 4096,
-  "model_type": "llama",
-  "num_attention_heads": 64,
-  "num_hidden_layers": 80,
-  "num_key_value_heads": 8,
-  "pad_token_id": 0,
-  "pretraining_tp": 1,
-  "rms_norm_eps": 1e-05,
-  "rope_scaling": null,
-  "rope_theta": 10000.0,
-  "tie_word_embeddings": false,
-  "torch_dtype": "float32",
-  "transformers_version": "4.35.0",
-  "use_cache": false,
-  "vocab_size": 32000
-}

.ipynb_checkpoints/generation_config-checkpoint.json

@@ -1,8 +0,0 @@
-{
-  "_from_model_config": true,
-  "bos_token_id": 1,
-  "eos_token_id": 2,
-  "pad_token_id": 0,
-  "transformers_version": "4.35.0",
-  "use_cache": false
-}

.ipynb_checkpoints/special_tokens_map-checkpoint.json

@@ -1,11 +0,0 @@
-{
-  "additional_special_tokens": [
-    "<unk>",
-    "<s>",
-    "</s>"
-  ],
-  "bos_token": "<s>",
-  "eos_token": "</s>",
-  "pad_token": "</s>",
-  "unk_token": "<unk>"
-}

.ipynb_checkpoints/tokenizer_config-checkpoint.json

@@ -1,48 +0,0 @@
-{
-  "added_tokens_decoder": {
-    "0": {
-      "content": "<unk>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "1": {
-      "content": "<s>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "2": {
-      "content": "</s>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    }
-  },
-  "additional_special_tokens": [
-    "<unk>",
-    "<s>",
-    "</s>"
-  ],
-  "bos_token": "<s>",
-  "clean_up_tokenization_spaces": false,
-  "eos_token": "</s>",
-  "legacy": false,
-  "max_length": 2048,
-  "model_max_length": 1000000000000000019884624838656,
-  "pad_token": "</s>",
-  "padding_side": "right",
-  "sp_model_kwargs": {},
-  "stride": 0,
-  "tokenizer_class": "LlamaTokenizer",
-  "truncation_side": "right",
-  "truncation_strategy": "longest_first",
-  "unk_token": "<unk>",
-  "use_default_system_prompt": true
-}